Domain identification and keyword extraction of radio news using term weighting

We propose a method for domain identification and keyword extraction using term weighting for radio news. In our method, feature vectors whose elements are /spl chi//sup 2/ values between each keyword and each domain are calculated from newspaper articles automatically. Using the feature vectors, a domain of each part of radio news is selected. Then keywords are extracted by using the selected domain. The results of experiments show that our methods are robust and effective for the speech recognition system.